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Conference2016

Cluster Sensing Superpixel and Grouping

Rui Li*, Lu Fang

CVPRW 2016★ Featured

Abstract

Cluster Sensing Superpixel (CSS) method. Cluster centers have representativeness (local max pixel density) and isolation; CSS identifies centers via pixel density. Integrates superpixel cues into a bipartite graph segmentation framework, applied to microscopy image segmentation. ~5× faster than SOTA with comparable performance.